Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things

Article

Wang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul. 2023. "Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things." Journal of Information Security and Applications. 75. https://doi.org/10.1016/j.jisa.2023.103483
Article Title

Hybrid KD-NFT: A multi-layered NFT assisted robust Knowledge Distillation framework for Internet of Things

Article CategoryArticle
AuthorsWang, Nai, Chen, Junjun, Wu, Di, Yang, Wencheng, Xiang, Yong and Sajjanhar, Atul
Journal TitleJournal of Information Security and Applications
Journal Citation75
Article Number103483
Number of Pages10
Year2023
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN2214-2126
2214-2134
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jisa.2023.103483
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S2214212623000674
Abstract

The Internet of Things (IoT) concept has increasingly gained popularity among different industrial and scientific fields by leveraging the development of modern electronic chip manufacturing and networking hardware and techniques. As the combination of end devices and networking techniques, it becomes more and more possible that people can organize an IoT system to serve more extensive industrial and scientific needs by running a higher level of machine learning models, such as Federated Learning (FL) and Knowledge Distillation (KD) architectures. However, security over network communications is vital when the whole system spreads to massive scales in networking, including data integrity and robustness over external malicious attacks, which would significantly affect the system's overall modal training effectiveness. In this paper, we propose an ungraded version of the Non-Fungible Token (NFT) assisted Knowledge Distillation framework, aiming at leveraging the blockchain features on data security to solve the intrinsic robustness defects in a naive KD architecture and reducing overall processing time by adding a local blockchain layer. Our major contributions can be concluded as the following (1) a revised version Hybrid KD-NFT framework from our previously proposed State-of-the-art (SOTA) framework, which improves the overall effectiveness and reduces the overall latency when compared to its original version; (2) the proposal and implementation of a hybrid (combination of private and public chain) multi-layer blockchain architecture; and (3) conducting more sets of experiments and performing more comprehensive comparisons over existing other KD frameworks in more metrics to prove our proposed Hybrid KD-NFT framework is a valid work.

KeywordsBlockchain; NFT; Knowledge Distillation; Internet of Things
ANZSRC Field of Research 2020460299. Artificial intelligence not elsewhere classified
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsDeakin University
Peking University, China
School of Mathematics, Physics and Computing
Permalink -

https://research.usq.edu.au/item/z2714/hybrid-kd-nft-a-multi-layered-nft-assisted-robust-knowledge-distillation-framework-for-internet-of-things

Log in to edit
  • 59
    total views
  • 0
    total downloads
  • 9
    views this month
  • 0
    downloads this month

Export as

Related outputs

High Security and Privacy Protection Model for STI/HIV Risk Prediction
Tang, Zhaohui, Nguyen, Thi Phuoc Van, Yang, Wencheng, Xia, Xiaoyu, Chen, Huaming, Mullens, Amy B., Dean, Judith A., Osborne, Sonya and Li, Yan. 2024. "High Security and Privacy Protection Model for STI/HIV Risk Prediction." Digital Health. 10, pp. 1-14. https://doi.org/DOI:10.1177/20552076241298425
Generous teacher: Good at distilling knowledge for student learning
Ding, Yifeng, Yang, Gaoming, Yin, Shuting, Zhang, Ji, Fang, Xianjin and Yang, Wencheng. 2024. "Generous teacher: Good at distilling knowledge for student learning." Image and Vision Computing. 150. https://doi.org/10.1016/j.imavis.2024.105199
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
Zhang, Jiale, Zhu, Chengcheng, Wu, Di, Sun, Xiaobing, Yong, Jianming and Long, Guodong. 2024. "BADFSS: Backdoor Attacks on Federated Self-Supervised Learning." Larson, Kate (ed.) 33rd International Joint Conference on Artificial Intelligence (IJCAI-24). Jeju, Korea 03 - 09 Aug 2024 Korea. https://doi.org/10.24963/ijcai.2024/61
From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding
Cai, Borui, Xiang, Yong, Gao, Longxiang, Wu, Di, Zhang, He, Jin, Jiong and Luan, Tom. 2024. "From wide to deep: dimension lifting network for parameter-efficient knowledge graph embedding." IEEE Transactions on Knowledge and Data Engineering. 36 (12), pp. 8341-8348. https://doi.org/10.1109/TKDE.2024.3437479
Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences
Zhang, Jianlin, Hou, Chen, Yang, Xu, Yang, Xuechao, Yang, Wencheng and Cui, Hui. 2024. "Advancing face detection efficiency: Utilizing classification networks for lowering false positive incidences." Array. 22. https://doi.org/10.1016/j.array.2024.100347
Lightweight federated learning for STIs/HIV prediction
Nguyen, Thi Phuoc Van, Yang, Wencheng, Tang, Zhaohui, Xia, Xiaoyu, Mullens, Amy B., Dean, Judith A. and Li, Yan. 2024. "Lightweight federated learning for STIs/HIV prediction." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-56115-0
EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices
Cao, Sicong, Sun, Xiaobing, Liu, Wei, Wu, Di, Zhang, Jiale, Li, Yan, Luan, Tom H. and Gao, Longxiang. 2024. "EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices." IEEE Internet of Things Journal. 11 (12), pp. 22385-22398. https://doi.org/10.1109/JIOT.2024.3381641
Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion
Zhang, Kexin, Zhao, Xuezhuan, Chen, Yu, Wu, Di, Cai, Taotao, Wang, Yi, Li, Lingling and Zhang, Ji. 2024. "Robust equivalent circuit model parameters identification scheme for State of Charge (SOC) estimation based on maximum correntropy criterion." International Journal of Electrochemical Science. 19 (5). https://doi.org/10.1016/j.ijoes.2024.100558
UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning
Jiang, Shui, Ge, Yanning, Yang, Xu, Yang, Wencheng and Cui, Hui. 2024. "UAV Control Method Combining Reptile Meta-Reinforcement Learning and Generative Adversarial Imitation Learning." Future Internet. 16 (3). https://doi.org/10.3390/fi16030105
Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model
Huang, Yongrong, Wang, Huiqing, Chen, Zhide, Feng, Chen, Zhu, Kexin, Yang, Xu and Yang, Wencheng. 2024. "Evaluating Cryptocurrency Market Risk on the Blockchain: An Empirical Study Using the ARMA-GARCH-VaR Model." IEEE Open Journal of the Computer Society. 5, pp. 83-94. https://doi.org/10.1109/OJCS.2024.3370603
FedInverse: Evaluating Privacy Leakage in Federated Learning
Wu, Di, Bai, Jun, Song,Yiliao, Chen, Junjun, Zhou, Wei, Xiang, Yong and Sajjanhar, Atul. 2024. "FedInverse: Evaluating Privacy Leakage in Federated Learning." The Twelfth International Conference on Learning Representations. Vienna, Austria 07 - 11 May 2024 Austria.
Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey
Rao, Bosen, Zhang, Jiale, Wu, Di, Zhu, Chengcheng, Sun, Xiaobing and Chen, Bing. 2024. "Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey." IEEE Transactions on Artificial Intelligence. https://doi.org/10.1109/TAI.2024.3363670
Feature extraction and learning approaches for cancellable biometrics: A survey
Yang, Wencheng, Wang, Song, Hu, Jiankun, Tao, Xiaohui and Li, Yan. 2024. "Feature extraction and learning approaches for cancellable biometrics: A survey." CAAI Transactions on Intelligence Technology. 9 (1), pp. 4-25. https://doi.org/10.1049/cit2.12283
Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Ali, Mumtaz, Prasad, Ramendra, Jamei, Mehdi, Malik, Anurag, Xiang, Yong, Abdulla, Shahab, Deo, Ravinesh C., Farooque, Aitazaz A. and Labban, Abdulhaleem H.. 2024. "Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks." Renewable Energy. 221. https://doi.org/10.1016/j.renene.2023.119773
Adaptive Regularization and Resilient Estimation in Federated Learning
Uddin, Md Palash, Xiang, Yong, Zhao, Yao, Ali, Mumtaz, Zhang, Yushu and Gao, Longxiang. 2024. "Adaptive Regularization and Resilient Estimation in Federated Learning." IEEE Transactions on Services Computing. 17 (4), pp. 1369-1381. https://doi.org/10.1109/TSC.2023.3332703
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems
Zhang, Jiale, Liu, Yue, Wu, Di, Lou, Shuai, Chen, Bing and Yu, Shui. 2023. "VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems." Digital Communications and Networks. 9 (4), pp. 981-989. https://doi.org/10.1016/j.dcan.2022.05.010
An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction
Wei, Shicheng, Li, Yan and Yang, Wencheng. 2023. "An Adaptive Feature Fusion Network for Alzheimer’s Disease Prediction." 12th International Conference on Health Information Science (HIS 2023). Melbourne, Australia 23 - 24 Oct 2023 Germany. https://doi.org/10.1007/978-981-99-7108-4
A Review of Homomorphic Encryption for Privacy-Preserving Biometrics
Yang, Wencheng, Wang, Song, Cui, Hui, Tang, Zhaohui and Li, Yan. 2023. "A Review of Homomorphic Encryption for Privacy-Preserving Biometrics." Sensors. 23 (7). https://doi.org/10.3390/s23073566
A review of multi-factor authentication in the Internet of Healthcare Things
Suleski, Tance, Ahmed, Mohiuddin, Yang, Wencheng and Wang, Eugene. 2023. "A review of multi-factor authentication in the Internet of Healthcare Things." Digital Health. 9, pp. 1-20. https://doi.org/10.1177/20552076231177144
Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks
Cui, Hui, Yang, Xuechao, Yang, Wencheng, Qin, Baodong and Yi, Xun. 2023. "Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks." IEEE Transactions on Network Science and Engineering. 10 (4), pp. 2347-2357. https://doi.org/10.1109/TNSE.2023.3246439
New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes
Ali, Mumtaz, Jamei, Mehdi, Prasad, Ramendra, Karbasi, Masoud, Xiang, Yong, Cai, Borui, Abdulla, Shahab, Farooque, Aitazaz Ahsan and Labban, Abdulhaleem H.. 2023. "New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes." Ecological Indicators. 155. https://doi.org/10.1016/j.ecolind.2023.111030
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Zheng, Zihao, Ali, Mumtaz, Jamei, Mehdi, Xiang, Yong, Abdulla, Shahab, Yaseen, Zaher Mundher and Farooque, Aitazaz A.. 2023. "Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation." Renewable and Sustainable Energy Reviews. 185. https://doi.org/https://doi.org/10.1016/j.rser.2023.113645
Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach
Zheng, Zihao, Ali, Mumtaz, Jamei, Mehdi, Xiang, Yong, Karbasi, Masoud, Yaseen, Zaher Mundher and Farooque, Aitazaz Ahsan. 2023. "Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach." Engineering Applications of Artificial Intelligence. 121. https://doi.org/10.1016/j.engappai.2023.105984
Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Jamei, Mehdi and Yaseen, Zaher Mundher. 2023. "Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting." Renewable Energy. 205, pp. 731-746. https://doi.org/https://doi.org/10.1016/j.renene.2023.01.108
A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks
Bedari, Aseel, Wang, Song and Yang, Wencheng. 2022. "A Secure Online Fingerprint Authentication System for Industrial IoT Devices over 5G Networks." Sensors. 22 (19), pp. 1-16. https://doi.org/10.3390/s22197609
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Prasad, Ramendra, Li, Jianxin, Farooque, Aitazaz and Yaseen, Zaher Mundher. 2022. "Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction." Scientific Reports. 12 (1), pp. 1-23. https://doi.org/10.1038/s41598-022-09482-5
Data Caching Optimization With Fairness in Mobile Edge Computing
Zhou, Jingwen, Chen, Feifei, He, Qiang, Xia, Xiaoyu, Wang, Rui and Xiang, Yong. 2023. "Data Caching Optimization With Fairness in Mobile Edge Computing." IEEE Transactions on Services Computing. 16 (3), pp. 1750 - 1762. https://doi.org/10.1109/TSC.2022.3197881
Multimedia security and privacy protection in the internet of things: research developments and challenges
Yang, Wencheng, Wang, Song, Hu, Jiankun and Karie, Nickson M.. 2022. "Multimedia security and privacy protection in the internet of things: research developments and challenges." International Journal of Multimedia Intelligence and Security. 4 (1), pp. 20-46. https://doi.org/10.1504/ijmis.2022.121282
A linear convolution-based cancelable fingerprint biometric authentication system
Yang, Wencheng, Wang, Song, Kang, James Jin, Johnstone, Michael N. and Bedari, Aseel. 2022. "A linear convolution-based cancelable fingerprint biometric authentication system." Computers and Security. 114, pp. 1-14. https://doi.org/10.1016/j.cose.2021.102583
A Review on Security Issues and Solutions of the Internet of Drones
Yang, Wencheng, Wang, Song, Yin, Xuefei, Wang, Xu and Hu, Jiankun. 2022. "A Review on Security Issues and Solutions of the Internet of Drones." IEEE Open Journal of the Computer Society. 3, pp. 96-110. https://doi.org/10.1109/OJCS.2022.3183003
Network Forensics in the Era of Artificial Intelligence
Yang, Wencheng, Johnstone, Michael N., Wang, Song, Karie, Nickson M., Bin Sahri, Nor Masri and Kang, James Jin. 2022. "Network Forensics in the Era of Artificial Intelligence." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 171-190
Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats
Karie, Nickson M., Bin Sahri, Nor Masri Bin, Yang, Wencheng and Johnstone, Michael N.. 2022. "Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats." Ahmed, Mohiuddin, Islam, Sheikh Rabiul, Anwar, Adnan, Moustafa, Nour and Pathan, Al-Sakib Khan (ed.) Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence. Cham, Switzerland. Springer. pp. 141-169
Defending against membership inference attacks in federated learning via adversarial example
Xie, Yuanyuan, Chen, Bing, Zhang, Jiale and Wu, Di. 2021. "Defending against membership inference attacks in federated learning via adversarial example." 2021 17th International Conference on Mobility, Sensing and Networking (MSN). Exeter, United Kingdom 13 - 15 Dec 2021 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/MSN53354.2021.00036
Campus Network Intrusion Detection based on Federated Learning
Chen, Junjun, Guo, Qiang, Fu, Zhongnan, Shang, Qun, Ma, Hao and Wu, Di. 2022. "Campus Network Intrusion Detection based on Federated Learning." 2022 International Joint Conference on Neural Networks (IJCNN). Padua, Italy 18 - 23 Jul 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN55064.2022.9892843
From distributed machine learning to federated learning: In the view of data privacy and security
Shen, Sheng, Zhu, Tianqing, Wu, Di, Wang, Wei and Zhou, Wanlei. 2022. "From distributed machine learning to federated learning: In the view of data privacy and security." Concurrency and Computation: Practice and Experience. 34 (16). https://doi.org/10.1002/cpe.6002
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning
Wu, Di, Wang, Nai, Zhang, Jiale, Zhang, Yuan, Xiang, Yong and Gao, Longxiang. 2022. "A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning." 2022 International Joint Conference on Neural Networks (IJCNN). Padua, Italy 18 - 23 Jul 2022 IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN55064.2022.9892039
Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks
Zhao, Ying, Chen, Junjun, Zhang, Jiale, Wu, Di, Blumenstein, Michael and Yu, Shui. 2022. "Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks." Concurrency and Computation: Practice and Experience. 34 (7). https://doi.org/10.1002/cpe.5906
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Jamei, Mehdi, Ali, Mumtaz, Karbasi, Masoud, Xiang, Yong, Ahmadianfar, Iman and Yaseen, Zaher Mundher. 2022. "Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach ." Applied Energy. 326, pp. 1-24. https://doi.org/10.1016/j.apenergy.2022.119925
Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Sankaran, Adarsh, Deo, Ravinesh C., Xiao, Fuyuan and Zhu, Shuyu. 2021. "Advanced extreme learning machines vs. deep learning models for peak wave energy period forecasting: A case study in Queensland, Australia." Renewable Energy. 177, pp. 1033-1044. https://doi.org/10.1016/j.renene.2021.06.052
Biometrics for internet‐of‐things security: A review
Yang, Wencheng, Wang, Song, Sahri, Nor Masri, Karie, Nickson M., Ahmed, Mohiuddin and Valli, Craig. 2021. "Biometrics for internet‐of‐things security: A review." Sensors. 21 (18). https://doi.org/10.3390/s21186163
Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong, Khan, Mohsin, Farooque, Aitazaz Ahsan, Zong, Tianrui and Yaseen, Zaher Mundher. 2021. "Variational mode decomposition based random forest model for solar radiation forecasting: New emerging machine learning technology." Energy Reports. 7, pp. 6700-6717. https://doi.org/10.1016/j.egyr.2021.09.113
Self-supervised cross-iterative clustering for unlabeled plant disease images
Fang, Uno, Li, J., Lu, X., Gao, Longxiang, Ali, Mumtaz and Xiang, Yong. 2021. "Self-supervised cross-iterative clustering for unlabeled plant disease images." Neurocomputing. 456, pp. 36-48. https://doi.org/10.1016/j.neucom.2021.05.066
Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach
Ali, Mumtaz, Deo, Ravinesh C., Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher. 2020. "Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach." Hydrological Sciences Journal. 65 (16), pp. 2693-2708. https://doi.org/10.1080/02626667.2020.1808219
Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Deo, Ravinesh C.. 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms." Renewable and Sustainable Energy Reviews. 132. https://doi.org/10.1016/j.rser.2020.110003
A double decomposition-based modelling approach to forecast weekly solar radiation
Prasad, Ramendra, Ali, Mumtaz, Xiang, Yong and Khan, Huma. 2020. "A double decomposition-based modelling approach to forecast weekly solar radiation." Renewable Energy. 152, pp. 9-22. https://doi.org/10.1016/j.renene.2020.01.005
Security and Forensics in the Internet of Things: Research Advances and Challenges
Yang, Wencheng, Johnstone, Michael N., Sikos, Leslie F. and Wang, Song. 2020. "Security and Forensics in the Internet of Things: Research Advances and Challenges." 2020 Workshop on Emerging Technologies for Security in IoT (ETSecIoT). Sydney, Australia 21 - 21 Apr 2020 Australia. IEEE (Institute of Electrical and Electronics Engineers). pp. 12-17 https://doi.org/10.1109/ETSecIoT50046.2020.00007
Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Yaseen, Z.. 2020. "Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts." Journal of Hydrology. 584, pp. 1-15. https://doi.org/10.1016/j.jhydrol.2020.124647
Defending poisoning attacks in federated learning via adversarial training method
Zhang, Jiale, Wu, Di, Liu, Chengyong and Chen, Bing. 2020. "Defending poisoning attacks in federated learning via adversarial training method." 3rd International Conference on Frontiers in Cyber Security (FCS 2020). Tianjin, China 15 - 17 Nov 2020 Singapore . Springer. https://doi.org/10.1007/978-981-15-9739-8_7
An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2019. "An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition." 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, New Zealand 19 - 21 Nov 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IVCNZ.2018.8634660
Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2019. "Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos." 2018 Digital Image Computing: Techniques and Applications (DICTA). Canberra, Australia 10 - 13 Dec 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/DICTA.2018.8615804
Adversarial action data augmentation for similar gesture action recognition
Wu, Di, Chen, Junjun, Sharma, Nabin, Pan, Shirui, Long, Guodong and Blumenstein, Michael. 2019. "Adversarial action data augmentation for similar gesture action recognition." 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary 14 - 19 Jul 2019 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2019.8851993
Feature-dependent graph convolutional autoencoders with adversarial training methods
Wu, Di, Hu, Ruiqi, Zheng, Yu, Jiang, Jing, Sharma, Nabin and Blumenstein, Michael. 2019. "Feature-dependent graph convolutional autoencoders with adversarial training methods." 2019 International Joint Conference on Neural Networks (IJCNN). Budapest, Hungary 14 - 19 Jul 2019 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2019.8852314
Poisoning attack in federated learning using generative adversarial nets
Zhang, Jiale, Chen, Junjun, Wu, Di, Chen, Bing and Yu, Shui. 2019. "Poisoning attack in federated learning using generative adversarial nets." 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). Rotorua, New Zealand 05 - 08 Aug 2018 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/TrustCom/BigDataSE.2019.00057
Network anomaly detection by using a time-decay closed frequent pattern
Zhao, Ying, Chen, Junjun, Wu, Di, Teng, Jian, Sharma, Nabin, Sajjanhar, Atul and Blumenstein, Michael. 2019. "Network anomaly detection by using a time-decay closed frequent pattern." Information (Basel). 10 (8). https://doi.org/10.3390/info10080262
Multi-task network anomaly detection using federated learning
Zhao, Ying, Chen, Junjun, Wu, Di, Teng, Jian and Yu, Shui. 2019. "Multi-task network anomaly detection using federated learning." 10th international symposium on information and communication technology (SoICT 2019). Hanoi, Viet Nam 04 - 06 Dec 2019 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3368926.3369705
A privacy-preserving access control scheme with verifiable and outsourcing capabilities in fog-cloud computing
Cheng, Zhen, Zhang, Jiale, Qian, Hongyan, Xiang, Mingrong and Wu, Di. 2019. "A privacy-preserving access control scheme with verifiable and outsourcing capabilities in fog-cloud computing." 19th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2019). Melbourne, Australia 09 - 11 Dec 2019 Switzerland . Springer. https://doi.org/10.1007/978-3-030-38991-8_23
A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices
Zheng, Guanglou, Shankaran, Rajan, Yang Wencheng, Valli, Craig, Qiao, Li, Orgun, Mehmet A. and Mukhopadhyay, Subhas Chandra. 2019. "A Critical Analysis of ECG-Based Key Distribution for Securing Wearable and Implantable Medical Devices." IEEE Sensors Journal. 19 (3), pp. 1186-1198. https://doi.org/10.1109/JSEN.2018.2879929
Robust feature-based automated multi-view human action recognition system
Chou, Kuang-Pen, Prasad, Mukesh, Wu, Di, Sharma, Nabin, Li, Dong-Lin, Lin, Yu-Feng, Blumenstein, Michael, Lin, Wen-Chieh and Lin, Chin-Teng. 2018. "Robust feature-based automated multi-view human action recognition system." IEEE Access. 6, pp. 15283-15296. https://doi.org/10.1109/ACCESS.2018.2809552
Recent advances in video-based human action recognition using deep learning: A review
Wu, Di, Sharma, Nabin and Blumenstein, Michael. 2017. "Recent advances in video-based human action recognition using deep learning: A review." 2017 International Joint Conference on Neural Networks (IJCNN). Anchorage, United States 14 - 19 May 2017 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IJCNN.2017.7966210
On addressing the imbalance problem: a correlated KNN approach for network traffic classification
Wu, Di, Chen, Xiao, Chen, Chao, Zhang, Jun, Xiang, Yang and Zhou, Wanlei. 2015. "On addressing the imbalance problem: a correlated KNN approach for network traffic classification." NSS 2014: 8th International Conference on Network and System Security. Xi'an, China 15 - 17 Oct 2014 Switzerland . Springer. https://doi.org/10.1007/978-3-319-11698-3_11
Detecting stepping stones by abnormal causality probability
Wen, Sheng, Wu, Di, Li, Ping, Xiang, Yang, Zhou, Wanlei and Wei, Guiyi. 2015. "Detecting stepping stones by abnormal causality probability." Security and Communication Networks. 8 (10), pp. 1831-1844. https://doi.org/10.1002/sec.1037
A Survey on Latest Botnet Attack and Defense
Zhang, Lei, Yu, Shui, Wu, Di and Watters, Paul. 2011. "A Survey on Latest Botnet Attack and Defense ." 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2011). Changsha, China 16 - 18 Nov 2011 China. https://doi.org/10.1109/TrustCom.2011.11